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Bayesian Inference for Stochastic Processes Broemeling, Lyle D. (Medical Lake, Washington, USA) 1. utgave
Bayesian Inference for Stochastic Processes
Broemeling, Lyle D. (Medical Lake, Washington, USA)
The book aims to introduce Bayesian inference methods for stochastic processes. The Bayesian approach has advantages compared to non-Bayesian, among which is the optimal use of prior information via data from previous similar experiments. Examples from biology, economics, and astronomy reinforce the basic concepts of the subject. R and WinBUGS.
432 pages, 30 Illustrations, black and white
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 15. desember 2017 |
| ISBN13 | 9781138196131 |
| Utgivere | Taylor & Francis Ltd |
| Antall sider | 448 |
| Mål | 260 × 185 × 29 mm · 952 g |
| Språk | Engelsk |
